Nuance Communications, Inc. v. ABBYY USA Software House, Inc.

813 F.3d 1368, 2016 U.S. App. LEXIS 3014, 2016 WL 692497
CourtCourt of Appeals for the Federal Circuit
DecidedFebruary 22, 2016
Docket2014-1629, 2014-1630
StatusPublished
Cited by13 cases

This text of 813 F.3d 1368 (Nuance Communications, Inc. v. ABBYY USA Software House, Inc.) is published on Counsel Stack Legal Research, covering Court of Appeals for the Federal Circuit primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
Nuance Communications, Inc. v. ABBYY USA Software House, Inc., 813 F.3d 1368, 2016 U.S. App. LEXIS 3014, 2016 WL 692497 (Fed. Cir. 2016).

Opinion

PROST, Chief Judge.

This case involves optical character recognition (“OCR”) technology. Nuance Communications Inc. (“Nuance”) sued AB-BYY USA Software House, Inc., ABBYY Software, Ltd., ABBYY Production LLC, and Lexmark International, Inc. (collectively, “ABBYY”) in the United Stated District Court for the Northern District of California. Although Nuance asserted eight patents in its complaint, before trial Nuance narrowed its case and ultimately only tried three patents: U.S. Patent Nos. 6,038,342 (“'342 patent”), 5,381,489 (“'489 *1370 patent”), and 6,742,161 (“'161 patent”). The jury returned a verdict of non-infringement and judgment was entered against Nuance. Nuance appeals the judgment, arguing that a new trial on the '342 patent is warranted because the district court improperly adopted a dictionary definition for disputed claim limitations in the '342 patent. Nuance also contends that it was denied due process when the district court entered final judgment against Nuance as to all of its patents, even those that Nuance chose not to assert at trial, and thus seeks remand for a second trial on the untried patents. For the reasons stated below, we affirm the district court’s rulings.

Background

OCR technology is used to discern characters in digital images of text, like a scanned document, and to translate the text into a format where it can be searched or edited. OCR systems analyze characters in the scanned image using various techniques, including template matching, feature analysis, and context analysis. Template matching involves comparing a character in the digital image with templates of known characters. If there is no matching template, then feature analysis is used, which examines the characteristics of unknown characters to determine what they are. Sometimes template matching and feature analysis result in more than one possible character — such as a lowercase or uppercase “S” — in which case context analysis is used. Context analysis looks to the character’s special context and linguistic context to determine the correct character.

I. The '342 Patent and ABBYY’S Accused Product

The only dispute on the merits in this case concerns the '342 patent. The '342 patent is directed to OCR systems and methods. It describes two “recognition” processes — template matching and feature analysis. The novelty of the invention is that it uses the results of the feature analysis to build new templates that can later be used in the first step of template matching. '342 patent col. 16 11. 35-38. By using templates generated through feature analysis, the invention allows for template matching to recognize many more characters than it otherwise would be able to. The asserted claims of the '342 patent recite that an unknown character is “identified” or “recognized” with or using a character-recognition process. For example, independent claim 4 recites:

4. In an optical recognition system having a feature analysis process for identifying an unknown character, said optical character recognition system for identifying characters in a medium, a method for constructing a template library for use while processing said medium, said method comprising the steps of:
(a) identifying said unknown character with said feature analysis process;
(b) building a template for said unknown character subsequent to having identified said unknown character; and
(c) storing said template in said template library.

'342 patent col. 27 1. 62-col. 28 1. 6 (emphasis added).

ABBYY’s accused product, FineReader, uses OCR technology. It begins by breaking down individual lines of text into fragments. Each fragment is then examined for division points, called “vertices” which are endpoints of “arcs.” Each arc corresponds to a “grapheme” image, which is a particular shape but not necessarily a character. FineReader examines each fragment and considers all combinations of grapheme images that could be combined to make a word. “Classifiers” then produce a list of “guesses” based on *1371 the combinations of grapheme images and provide a confidence value for each guess indicating how likely it is that the guess is correct. FineReader then performs a type of context analysis where it converts the grapheme guesses into characters and generates a list of possible words with associated confidence intervals. FineReader performs several more tests, including analyses based on linguistic information, to rank the word guesses. FineReader repeats that process for each fragment and after processing all of the fragments on a given line of text, it selects the best word candidates for each fragment.

II. Procedural History

Nuance originally asserted over 140 claims from eight patents against ABBYY. Three of those patents involved OCR technology: U.S. Patent No. 5,261,009 (“'009 patent”), the '342 patent, and the '489 patent (collectively, “the OCR-patents”). The other five patents did not relate to OCR technology: U.S. Patent Nos. 5,131,-153 (“'053 patent”), 5,436,983 (“'983 patent”), 6,810,404 (“'404 patent”), 6,820,094 (“'094 patent”), and the '161 patent (collectively, “the non-OCR patents”). The district court held a first Markman hearing on the three OCR patents. After issuing the first claim construction order, the district court asked the parties to propose case management scheduling for the rest of the case. It referred the case management conference to a special master who recommended, as Nuance proposed, that the court proceed with claim construction on the non-OCR patents and that the parties proceed through discovery, mediation, and then trial on both sets of patents. It further adopted Nuance’s proposal that Nuance would limit its total patents at trial to four, and the total claims to fifteen. The district court adopted the special master’s recommendations.

Nuance selected the '342 patent, the '489 patent, the '009 patent, and the '161 patent for expert discovery and trial, thus selecting both OCR and non-OCR patents. Ultimately, Nuance narrowed its case even further and only went to trial on seven claims from three patents (the '342 patent, the '489 patent, and the '161 patent). The jury'found non-infringement and the district court entered final judgment against Nuance on August 26, 2013. Eight months later, in a motion by ABBYY to compel costs, Nuance responded that the costs award should be stayed until its remaining patents had been tried. Nuance indicated that the completed trial was only the “initial” trial and it had reserved its right to try the other patents in a subsequent trial.

The district court rejected Nuance’s arguments and granted the motion to compel costs. The court noted that it entered judgment “[ajfter a full and fair trial on the issues selected by Nuance for its casein-chief’ and that the final judgment “did not exempt any of Nuance’s causes of action or reserve judgment on any of Nuance’s patents that it chose not to pursue at trial.” J.A. 22. The court further stated that it “afforded Nuance the opportunity to pursue discovery and claim construction on all its patents” but that it “agreed with Nuance’s proposal that it would conduct a single trial” on a “manageable set” of patents. J.A. 22.

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813 F.3d 1368, 2016 U.S. App. LEXIS 3014, 2016 WL 692497, Counsel Stack Legal Research, https://law.counselstack.com/opinion/nuance-communications-inc-v-abbyy-usa-software-house-inc-cafc-2016.